Ryan-Rhys / Heteroscedastic-BO
Heteroscedastic Bayesian Optimisation in Numpy
☆21Updated 2 years ago
Alternatives and similar repositories for Heteroscedastic-BO:
Users that are interested in Heteroscedastic-BO are comparing it to the libraries listed below
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆41Updated 3 years ago
- Library for training Gaussian Processes on Molecules☆36Updated 3 years ago
- Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml…☆51Updated 2 years ago
- Bayesian optimization with conformal coverage guarantees☆27Updated 2 years ago
- List of papers on robust Bayesian optimization☆17Updated 3 years ago
- Bayesian Optimisation for String Spaces☆24Updated 3 years ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆24Updated last month
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Updated last year
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆16Updated last year
- ☆43Updated 2 years ago
- ☆28Updated 2 years ago
- Benchmarking☆27Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 10 months ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…☆31Updated last year
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆28Updated 5 months ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆32Updated 3 years ago
- ☆23Updated 2 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆41Updated 3 years ago
- Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)☆12Updated 2 years ago
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Updated 3 years ago
- Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.☆40Updated last week
- Modelling the Multiwavelength Variability of Mrk-335 using Gaussian processes☆13Updated 2 years ago
- ☆30Updated 2 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆11Updated last year
- MaxEnt code for fitting simulation outcomes/statistical models to observations☆16Updated 2 years ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆68Updated 10 months ago
- Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbal…☆16Updated last year